app.py

import os
import math
import gradio as gr

from Helper_functions import *
from Kaggle_API import API_Connection
from GoogleDrive_API import GoogleDrive_API

DEFAULT_VALUES = {
    "input_image": None,
    "edit_instruction": "",
    "steps": 100,
    "randomize_seed": "Fix Seed",
    "seed": 1371,
    "randomize_cfg": "Fix CFG",
    "text_cfg_scale": 7.5,
    "image_cfg_scale": 1.5,
    "resolution": 512,
    "edited_image": None
}

def generate_button_clicked(*args):
    # set kaggle-api variables
    kaggle_username = os.environ["kaggle_username"]
    kaggle_key = os.environ["kaggle_key"]

    input_keys = list(DEFAULT_VALUES.keys())
    values = dict(zip(input_keys, list(args)))

    for key in values:
        if values[key] is None:
            values[key] = DEFAULT_VALUES[key]

    if values["randomize_seed"]:
        values["randomize_seed"] = random.randint(1, 100000)

    if values["randomize_cfg"]:
        values["text_cfg_scale"] = round(random.uniform(6.0, 9.0), ndigits=2)
        values["image_cfg_scale"] = round(random.uniform(1.2, 1.8), ndigits=2)

    # parameters for the model
    input_image = values["input_image"]
    edit_instruction = values["edit_instruction"]
    steps = values["steps"]
    seed = values["seed"]
    cfgtext = values["text_cfg_scale"]
    cfgimage = values["image_cfg_scale"]
    resolution = 2 ** int(math.log2(values["resolution"]))

    if input_image is None:
        raise gr.Error("Missing Input: input_image")
    if len(edit_instruction) == 0:
        raise gr.Error("Missing Input: edit_instruction")

    GoogleDrive_connection = GoogleDrive_API("service_account.json")
    api_connection = API_Connection(GoogleDrive_connection, kaggle_username, kaggle_key)

    create_folder("local_dataset")

    image_ID = get_random_str(4)

    input_image_name = rf"input_image_{image_ID}.png"
    output_image_name = rf"output_image_{image_ID}.png"

    input_image.save(rf"local_dataset\{input_image_name}")

    status, img = api_connection.generate_image(
        input_image_name, edit_instruction, output_image_name,
        steps, seed, cfgtext, cfgimage, resolution
    )
    print(rf"End Time : {get_current_time()}")
    if not status:
        raise gr.Error(img)

    return img

def reset_button_clicked():
    return list(DEFAULT_VALUES.values())


def main():
    with gr.Blocks(theme="AmirMoris/GP_Themes") as demo:
        toggle_theme = gr.Button(value="Toggle Theme")
        with gr.Row():
            input_image = gr.Image(label="Input Image", type="pil", interactive=True)
            edited_image = gr.Image(
                label=f"Edited Image", type="pil", interactive=False
            )

        with gr.Row():
            with gr.Column(scale=3):
                instruction = gr.Textbox(
                    lines=1, label="Edit Instruction", interactive=True
                )
            with gr.Column(scale=1, min_width=100):
                with gr.Row():
                    generate_button = gr.Button("Generate")
                with gr.Row():
                    reset_button = gr.Button("Reset")

        with gr.Row():
            steps = gr.Number(value=DEFAULT_VALUES["steps"], precision=0, label="Steps", interactive=True)
            randomize_seed = gr.Radio(
                ["Fix Seed", "Randomize Seed"],
                value=DEFAULT_VALUES["randomize_seed"],
                type="index",
                show_label=False,
                interactive=True,
            )
            seed = gr.Number(value=DEFAULT_VALUES["seed"], precision=0, label="Seed", interactive=True)
            randomize_cfg = gr.Radio(
                ["Fix CFG", "Randomize CFG"],
                value=DEFAULT_VALUES["randomize_cfg"],
                type="index",
                show_label=False,
                interactive=True,
            )
            text_cfg_scale = gr.Number(value=DEFAULT_VALUES["text_cfg_scale"], label=f"Text CFG", interactive=True)
            image_cfg_scale = gr.Number(value=DEFAULT_VALUES["image_cfg_scale"], label=f"Image CFG", interactive=True)
            resolution = gr.Number(value=DEFAULT_VALUES["resolution"], label=f"Resolution", interactive=True)


        generate_button.click(
            fn=generate_button_clicked,
            inputs=[
                input_image,
                instruction,
                steps,
                randomize_seed,
                seed,
                randomize_cfg,
                text_cfg_scale,
                image_cfg_scale,
                resolution
            ],
            outputs=edited_image,
        )
        reset_button.click(
            fn=reset_button_clicked,
            outputs=[
                input_image,
                instruction,
                steps,
                randomize_seed,
                seed,
                randomize_cfg,
                text_cfg_scale,
                image_cfg_scale,
                resolution,
                edited_image
            ],
        )
        toggle_theme.click(
            None,
            js=
            """
            () => {
                document.body.classList.toggle('dark');
            }
            """,
        )

    # Launch Gradio interface

    demo.queue(max_size=1)
    demo.launch(share=True)


if __name__ == "__main__":
    main()